Search for Associate Data Scientist roles in Honolulu, HI, focusing on B2B SaaS companies, with 2+ years of experience, requiring strong SQL skills, and offering a salary of at least $62 per hour.

Okay, I've found several Associate Data Scientist roles in Honolulu, HI, within B2B SaaS companies that require 2+ years of experience, strong SQL skills, and offer a salary starting at $62 per hour. You have 15 positions to review.

Associate Data Scientist

Honolulu, HI

B2B SaaS

2 years + Experience

$62+

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of Associate Data Scientist, Marketing at Confluent embodies the intersection of data science and marketing strategy within a rapidly evolving tech landscape. Fundamentally, this position is tasked with analyzing marketing efficacy and optimizing lead funnels to drive business growth. The key responsibilities encompass a mix of data analysis, collaboration with cross-functional teams (like Marketing, Sales, and Finance), and rendering insights that are instrumental for strategic decisions. By diving into data to elucidate funnel efficiencies and pipeline health, the Associate Data Scientist plays a pivotal role in shaping data-informed marketing strategies. Hence, proficiency in SQL and Python/R, along with experience in data visualization (e.g., Tableau), are critical—allowing the candidate to manipulate, analyze, and share insights effectively. The combination of analytical prowess and business acumen is essential here to translate complex data into actionable insights, overcoming potential challenges like stakeholder alignment and communication across varying technical literacy levels. Success would involve seamlessly integrating data outputs into marketing tactics and demonstrating quantifiable improvements in conversion metrics within the early months of the role.

Company Analysis:

Confluent operates at the cutting edge of data infrastructure, specifically focusing on data streaming technology—a burgeoning field that empowers businesses to leverage continuous data flows for innovative applications. As a fast-growing company with a commitment to enhancing data-driven practices, Confluent is positioned as a leader within its niche. The company culture likely prioritizes inclusivity, collaboration, and innovation, evident in its commitment to building a diverse workforce and fostering a data-driven environment. For the Associate Data Scientist role, this translates to being part of a dynamic team where collaborative efforts are crucial, and visibility with leadership may be quite high, given the strategic nature of the position. Importantly, this role aligns with Confluent’s growth ambitions as they work to expand their market presence and enhance their offerings—making it both a crucial and exciting opportunity for someone eager to contribute to significant advancements in the company’s operational efficiency and customer engagement strategies.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you analyzed a data set and presented your findings to a non-technical audience. What challenges did you face, and how did you overcome them?
Describe a specific project where you utilized SQL to solve a complex problem. What was the project scope, and what were the results?
Can you provide an example of how you have used predictive modeling in your previous work? What tools did you use, and what outcomes did you achieve?
Share an experience where you collaborated with cross-functional teams. How did you ensure effective communication and alignment among different stakeholders?
How would you approach improving lead funnel conversion rates for a marketing campaign? What steps would you take to analyze and enhance performance?
What methods do you use to ensure that the dashboards you create are both informative and user-friendly for team members with varying levels of data literacy?
Imagine you discover that a significant number of leads are dropping off at a particular stage in the funnel. How would you investigate this issue?
If you were tasked with measuring the ROI for a specific marketing channel, what key indicators would you consider, and why?
Why are you interested in working at Confluent specifically, and how do you feel your skills align with our company mission?
What elements of Confluent's culture resonate with you the most, and how do you see yourself contributing to that culture?
What do you think are critical considerations when analyzing customer journey metrics such as CAC and CLTV?
Can you describe a situation in which you needed to pivot your analysis approach mid-project? What led to this change and what was the outcome?
What are some of the most significant trends you see affecting data science in marketing today, and how do you stay informed on these trends?

Job Details

Overview Company

Associate Data Scientist

$62/h-$71/h

Lensa

a month ago

Highlight

OnsiteFull-time2+ yearsEntry

Summary

Confluent is seeking an Associate Data Scientist, Marketing to join their team in Honolulu, HI. The role involves analyzing marketing performance and supporting pipeline management to drive data-informed go-to-market strategies.

About the Role

As an Associate Data Scientist, Marketing, you will analyze lead funnel efficiency, evaluate marketing performance, and support pipeline management. You will collaborate with stakeholders across Marketing, Growth, Sales, and Finance to generate insights and drive strategic decision-making. Your tasks include exploring marketing and sales data, defining marketing metrics, building scalable reporting, and applying deep dive analysis, predictive modeling, or experimentation to optimize the customer journey.

About You

Required:

2+ years of experience in data science or advanced analytics, with at least 1–2 years supporting a marketing or go-to-market function.
Strong proficiency in SQL and intermediate Python / R skills.
Experience building and maintaining dashboards and data visualizations using tools like Tableau or similar platforms.
Demonstrated ability to communicate insights effectively to both technical and non-technical audiences.
Working knowledge of marketing attribution techniques and A/B testing methodologies.
Strong problem-solving skills and attention to detail.
Bachelor’s or Master’s degree in a quantitative field such as computer science, statistics, economics, or engineering.

Preferred:

Hands-on experience with marketing measurement and attribution across SEO, paid media, email, and other channels.
Familiarity with Salesforce and the B2B marketing tech stack.
Exposure to causal inference, customer segmentation, or predictive modeling techniques.
Experience working in cross-functional pods with stakeholders across Sales, Finance, and Product.

Benefits

Competitive pay with an estimated hourly rate of $62–$71.
Wide range of employee benefits in line with industry standards.

Lensa

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Honolulu, HI